Preprocessing & Setup

Modeling

Experiment 1: DNN with 2 layers (no regularization)

Experiment 2: DNN with 3 layers (no regularization)

Experiment 3: CNN with 2 convolution/max pooling layers (no regularization)

Experiment 4: CNN with 3 convolution/max pooling layers (no regularization)

Experiment 5-8: Redo experiments 1-4 (with regularization)

Experiment 5: DNN with 2 layers (regularization - "Experiment 1a")

Experiment 6: DNN with 3 layers (regularization - "Experiment 2a")

Experiment 7: CNN with 2 convolution/max pooling layers (regularization - "Experiment 3a")

Experiment 8: CNN with 3 convolution/max pooling layers (regularization - "Experiment 4a")

Experiment 9: CNN with stacked convolution, batch normalization, dropout, & max pooling layers (L2 regularization)

Experiment 10: Dropout adjustment (L2 regularization - "Experiment 9a")

Experiment 11: Image augmentation (L2 regularization - "Experiment 9b")

Experiment 12: Image augmentation, 200 epochs (L2 regularization - "Experiment 9c")